Part0:前言

今天是國慶連假第一天，昨天聚會吃宵夜到3:30，今天一早9:00起床上課，接著朋友聚會和逛街到18:00，回來吃完晚餐後準備英文讀書會的資料&開讀書會，21:00休息開箱買給家人的禮物，21:30終於坐在電腦桌前，已經腦袋有點空白呈現Burn out狀態(°⌓°)

Part1:今日目標

1.以關鍵字搜尋相關文獻

Part2:內容

1.以關鍵字搜尋相關文獻:

限定2020~2022發表的文章，且引用次數要超過100次(除非文獻名稱有特別之處)

(1)[文獻]關鍵字:"pytorch image classification"

• Tokens-to-Token ViT: Training Vision Transformers from Scratch on Imagenet: 2021, 631次 (發表年, 被引用次數)
• Going Deeper With Image Transformers: 2021, 295次
• Training data-efficient image transformers & distillation through attention: 2021, 1707次
• Swin transformer: Hierarchical vision transformer using shifted windows: 2021, 3118次
• Albumentations: fast and flexible image augmentations: 2020, 840次
• Transformer in transformer: 2021, 356次
• Automatically designing CNN architectures using the genetic algorithm for image classification: 2020, 394次
• Deep subdomain adaptation network for image classification: 2020, 216次
• GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing: 2020, 143次

(2)[文獻]關鍵字:"pytorch image classification agriculture"

• A review of convolutional neural network applied to fruit image processing: 2020, 105次
• Convolutional neural networks for image-based high-throughput plant phenotyping: a review: 2020, 112次
• Plant diseases and pests detection based on deep learning: a review: 2021, 124次
• A survey of deep learning techniques for weed detection from images: 2021, 83次
• Recent advances in image processing techniques for automated leaf pest and disease recognition–A review: 2021, 131次
• PLANT DETECTION IN AERIAL IMAGES USING DEEP NEURAL NETWORKS FOR SMART AGRICULTURAL APPLICATIONS: Plant classification with PyTorch & Plant detection with YOLOv3
• Rice Semantic Segmentation Using Unet-VGG16: A Case Study in Yunlin, Taiwan: 2021

(3)[Website_code]

• Data Augmentation using Random Image Cropping(隨機圖像裁剪) and Patching(修補) for Deep CNNs: 2019, 197次
• Github_code:Flower or Crops CNN classification using Pytorch (Link)
• Kaggle Paddy Doctor: Paddy Disease Classification (Link)

Part3:專案進度

今天搜尋完文獻，發現台灣農作物分類的範例或文獻似乎偏少，有點沒有頭緒接下來要如何處理競賽資料~ 目前就先採取繼續Debug和搜尋網路資源的步驟。

心得小語:
今天好累，睡飽明天繼續~~~今天來個微厭世又微激勵的小語，幫自己加加油哩
今日工時50min*2

有時候你會懷疑自己的能力，別擔心，你是對的
Sometimes you worry about your abilities is not good enough. Don’t, because you are correct XD